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Department of Pathology

Research

The main interest of research in our department is the application of recent pathological research methodologies to understand the pathogenesis, improve the diagnosis and predict the prognosis of human disease.

The department collaborates with other clinical departments in different research fields and theses. It also provides research opportunities for postgraduates and staff from the department and from any other discipline both from Egypt and abroad.

The main research facilities available at the department:

  1. Histopathological examination and evaluation of tissues .
  2. Cytopathological assessment of exfoliative and FNA cytology.
  3. immunohistochemical – based researches.

         Research Plan

# Title Research Year
1 High density of FOXP3 predicts better prognosis in germinal and non‐germinal centre diffuse large B‐cell lymphoma 2023/3/28
2 lc3b and aimunohistochmical expression of autophagy related marker and stem cell marker CD44 in molecular subtypes of breast cancer 2023
3 Diagnostic Value of Claudin 4 and EZH2 Immunohistochemistry in Effusion Cytology 2022/8/1
4 Detection of Epstein-Barr virus Latent Membrane Protein-1 in Pediatric Lymphoma: A Report from South Egypt Cancer Institute 2022/4/28
5 Prognostic Outcome of Mesenchymal Transition Biomarkers in Correlation with EGFR Expression in Epithelial Ovarian Carcinoma Patients 2022/12/23
6 Clinicopathological features of relapsed diffuse large B-cell lymphoma South Egypt Cancer Institute experience 2021/8/20
7 Prognostic value of CD10, BCL6 and MUM1 in diffuse large B-cell lymphoma 2021/8/1
8 Immunohistochemical Expression of p63 in Ophthalmic Pterygium 2021
9 Efficacy of topical calcipotriol betamethasone dipropionate as a new adjuvant therapy to follicular unit extraction technique in treatment of stable vitiligo: clinical, dermoscopic and immunohistological study 2021
10 Multiparametric transvaginal ultrasound in the diagnosis of endometrial cancer in post-menopausal bleeding: diagnostic performance of a transvaginal algorithm and reproducibility amongst less experienced observers 2021